Subgrouping Analysis Self Pol1 Analysis
Laura Rosero - joel Edit - Rachel edit
2022-07-12
Demographics
| 0 (N=8) |
0.25 (N=4) |
0.5 (N=12) |
0.75 (N=5) |
1 (N=7) |
Overall (N=36) |
|
|---|---|---|---|---|---|---|
| age | ||||||
| Mean (SD) | 44.8 (12.0) | 45.3 (8.22) | 36.3 (11.5) | 47.0 (19.1) | 32.7 (10.3) | 40.0 (12.9) |
| Median [Min, Max] | 47.0 [23.0, 59.0] | 45.5 [36.0, 54.0] | 34.0 [19.0, 53.0] | 46.0 [19.0, 70.0] | 35.0 [19.0, 45.0] | 40.5 [19.0, 70.0] |
| race | ||||||
| Hispanic/Latinx | 1 (12.5%) | 0 (0%) | 1 (8.3%) | 0 (0%) | 1 (14.3%) | 3 (8.3%) |
| White | 7 (87.5%) | 4 (100%) | 7 (58.3%) | 4 (80.0%) | 4 (57.1%) | 26 (72.2%) |
| Asian | 0 (0%) | 0 (0%) | 1 (8.3%) | 0 (0%) | 1 (14.3%) | 2 (5.6%) |
| Black or African-American | 0 (0%) | 0 (0%) | 2 (16.7%) | 1 (20.0%) | 1 (14.3%) | 4 (11.1%) |
| Other | 0 (0%) | 0 (0%) | 1 (8.3%) | 0 (0%) | 0 (0%) | 1 (2.8%) |
| gender | ||||||
| Man | 5 (62.5%) | 2 (50.0%) | 7 (58.3%) | 1 (20.0%) | 1 (14.3%) | 16 (44.4%) |
| Woman | 3 (37.5%) | 2 (50.0%) | 5 (41.7%) | 4 (80.0%) | 6 (85.7%) | 20 (55.6%) |
| party | ||||||
| Democratic | 3 (37.5%) | 2 (50.0%) | 5 (41.7%) | 3 (60.0%) | 3 (42.9%) | 16 (44.4%) |
| Independent | 3 (37.5%) | 2 (50.0%) | 5 (41.7%) | 2 (40.0%) | 2 (28.6%) | 14 (38.9%) |
| Republican | 2 (25.0%) | 0 (0%) | 2 (16.7%) | 0 (0%) | 2 (28.6%) | 6 (16.7%) |
| 0 (N=60) |
0.25 (N=58) |
0.5 (N=56) |
0.75 (N=67) |
1 (N=68) |
Overall (N=309) |
|
|---|---|---|---|---|---|---|
| age | ||||||
| Mean (SD) | 38.7 (12.6) | 41.9 (12.2) | 36.8 (14.4) | 37.2 (13.0) | 37.2 (13.0) | 38.3 (13.1) |
| Median [Min, Max] | 36.5 [18.0, 69.0] | 39.0 [21.0, 68.0] | 32.5 [18.0, 72.0] | 34.0 [18.0, 73.0] | 34.0 [18.0, 72.0] | 35.0 [18.0, 73.0] |
| race | ||||||
| American Indian or Alaska Native | 1 (1.7%) | 0 (0%) | 2 (3.6%) | 4 (6.0%) | 1 (1.5%) | 8 (2.6%) |
| Asian | 5 (8.3%) | 4 (6.9%) | 6 (10.7%) | 6 (9.0%) | 4 (5.9%) | 25 (8.1%) |
| Black or African-American | 4 (6.7%) | 3 (5.2%) | 4 (7.1%) | 6 (9.0%) | 5 (7.4%) | 22 (7.1%) |
| Hispanic/Latinx | 1 (1.7%) | 4 (6.9%) | 3 (5.4%) | 3 (4.5%) | 6 (8.8%) | 17 (5.5%) |
| White | 49 (81.7%) | 46 (79.3%) | 40 (71.4%) | 48 (71.6%) | 51 (75.0%) | 234 (75.7%) |
| Other | 0 (0%) | 1 (1.7%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.3%) |
| Native Hawaiian or Other Pacific Islander | 0 (0%) | 0 (0%) | 1 (1.8%) | 0 (0%) | 1 (1.5%) | 2 (0.6%) |
| gender | ||||||
| Another gender not listed here | 2 (3.3%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (0.6%) |
| Man | 22 (36.7%) | 23 (39.7%) | 23 (41.1%) | 28 (41.8%) | 39 (57.4%) | 135 (43.7%) |
| Woman | 36 (60.0%) | 34 (58.6%) | 30 (53.6%) | 38 (56.7%) | 26 (38.2%) | 164 (53.1%) |
| Non-binary | 0 (0%) | 1 (1.7%) | 3 (5.4%) | 1 (1.5%) | 1 (1.5%) | 6 (1.9%) |
| Prefer not to answer | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (2.9%) | 2 (0.6%) |
| party | ||||||
| Democratic | 26 (43.3%) | 28 (48.3%) | 31 (55.4%) | 34 (50.7%) | 36 (52.9%) | 155 (50.2%) |
| Independent | 21 (35.0%) | 16 (27.6%) | 17 (30.4%) | 17 (25.4%) | 23 (33.8%) | 94 (30.4%) |
| Republican | 13 (21.7%) | 14 (24.1%) | 8 (14.3%) | 16 (23.9%) | 9 (13.2%) | 60 (19.4%) |
Opinion Learning
Learning task by party
Stimuli similarity
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## Deviant_threshold 235242 58810 4 329.4 178.34 < 2.2e-16 ***
## pairings 660008 660008 1 145.8 2001.43 < 2.2e-16 ***
## Deviant_threshold:pairings 1483642 370910 4 10733.2 1124.76 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## $emmeans
## pairings = par,stim:
## Deviant_threshold emmean SE df asymp.LCL asymp.UCL
## 0 84.5 1.49 Inf 81.6 87.4
## 0.25 52.1 1.51 Inf 49.2 55.1
## 0.5 42.6 1.54 Inf 39.6 45.6
## 0.75 34.3 1.41 Inf 31.5 37.1
## 1 15.3 1.40 Inf 12.6 18.1
##
## pairings = stim,stim:
## Deviant_threshold emmean SE df asymp.LCL asymp.UCL
## 0 87.3 1.31 Inf 84.8 89.9
## 0.25 51.9 1.33 Inf 49.3 54.5
## 0.5 47.9 1.35 Inf 45.3 50.6
## 0.75 51.2 1.24 Inf 48.8 53.6
## 1 87.5 1.23 Inf 85.1 89.9
##
## Degrees-of-freedom method: asymptotic
## Confidence level used: 0.95
##
## $contrasts
## pairings = par,stim:
## contrast estimate SE df z.ratio
## Deviant_threshold0 - Deviant_threshold0.25 32.403 2.12 Inf 15.317
## Deviant_threshold0 - Deviant_threshold0.5 41.959 2.13 Inf 19.656
## Deviant_threshold0 - Deviant_threshold0.75 50.232 2.04 Inf 24.598
## Deviant_threshold0 - Deviant_threshold1 69.190 2.04 Inf 33.999
## Deviant_threshold0.25 - Deviant_threshold0.5 9.556 2.15 Inf 4.440
## Deviant_threshold0.25 - Deviant_threshold0.75 17.829 2.06 Inf 8.653
## Deviant_threshold0.25 - Deviant_threshold1 36.787 2.05 Inf 17.914
## Deviant_threshold0.5 - Deviant_threshold0.75 8.273 2.08 Inf 3.977
## Deviant_threshold0.5 - Deviant_threshold1 27.231 2.07 Inf 13.134
## Deviant_threshold0.75 - Deviant_threshold1 18.958 1.98 Inf 9.585
## p.value
## <.0001
## <.0001
## <.0001
## <.0001
## 0.0001
## <.0001
## <.0001
## 0.0007
## <.0001
## <.0001
##
## pairings = stim,stim:
## contrast estimate SE df z.ratio
## Deviant_threshold0 - Deviant_threshold0.25 35.477 1.86 Inf 19.027
## Deviant_threshold0 - Deviant_threshold0.5 39.409 1.88 Inf 20.947
## Deviant_threshold0 - Deviant_threshold0.75 36.150 1.80 Inf 20.086
## Deviant_threshold0 - Deviant_threshold1 -0.154 1.79 Inf -0.086
## Deviant_threshold0.25 - Deviant_threshold0.5 3.932 1.90 Inf 2.073
## Deviant_threshold0.25 - Deviant_threshold0.75 0.673 1.82 Inf 0.371
## Deviant_threshold0.25 - Deviant_threshold1 -35.631 1.81 Inf -19.687
## Deviant_threshold0.5 - Deviant_threshold0.75 -3.259 1.83 Inf -1.778
## Deviant_threshold0.5 - Deviant_threshold1 -39.563 1.83 Inf -21.652
## Deviant_threshold0.75 - Deviant_threshold1 -36.304 1.74 Inf -20.828
## p.value
## <.0001
## <.0001
## <.0001
## 1.0000
## 0.2319
## 0.9960
## <.0001
## 0.3866
## <.0001
## <.0001
##
## Degrees-of-freedom method: asymptotic
## P value adjustment: tukey method for comparing a family of 5 estimatesStimuli similarity by party
Party Idenitification
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## Deviant_threshold 497.74 124.43 4 304 1.2257 0.29986
## time 1587.61 1587.61 1 304 15.6386 9.545e-05 ***
## Deviant_threshold:time 936.42 234.10 4 304 2.3060 0.05825 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## $emmeans
## Deviant_threshold = 0:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 72.2 3.42 351 65.4 78.9 21.066 <.0001
## after 72.6 3.42 351 65.8 79.3 21.193 <.0001
##
## Deviant_threshold = 0.25:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 67.2 3.48 351 60.4 74.1 19.293 <.0001
## after 63.9 3.48 351 57.0 70.7 18.338 <.0001
##
## Deviant_threshold = 0.5:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 65.2 3.55 351 58.3 72.2 18.405 <.0001
## after 61.3 3.55 351 54.3 68.3 17.292 <.0001
##
## Deviant_threshold = 0.75:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 67.7 3.24 351 61.3 74.0 20.875 <.0001
## after 60.6 3.24 351 54.3 67.0 18.706 <.0001
##
## Deviant_threshold = 1:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 65.8 3.22 351 59.5 72.2 20.460 <.0001
## after 63.6 3.22 351 57.3 69.9 19.774 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
##
## $contrasts
## Deviant_threshold = 0:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after -0.433 1.84 304 -4.053 3.19 -0.236 0.8139
##
## Deviant_threshold = 0.25:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 3.328 1.87 304 -0.354 7.01 1.779 0.0763
##
## Deviant_threshold = 0.5:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 3.946 1.90 304 0.200 7.69 2.073 0.0391
##
## Deviant_threshold = 0.75:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 7.030 1.74 304 3.604 10.46 4.038 0.0001
##
## Deviant_threshold = 1:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.206 1.73 304 -1.194 5.61 1.277 0.2027
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
Party identification by party
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## Deviant_threshold 841.44 210.36 4 294 2.0702 0.0847307 .
## time 1302.11 1302.11 1 294 12.8142 0.0004023 ***
## party 2863.48 1431.74 2 294 14.0899 1.434e-06 ***
## Deviant_threshold:time 916.85 229.21 4 294 2.2557 0.0632019 .
## Deviant_threshold:party 736.25 92.03 8 294 0.9057 0.5119955
## time:party 266.57 133.29 2 294 1.3117 0.2709421
## Deviant_threshold:time:party 661.73 82.72 8 294 0.8140 0.5906895
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## $emmeans
## Deviant_threshold = 0, party = Democratic:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 78.3 5.01 343 68.4 88.1 15.616 <.0001
## after 79.7 5.01 343 69.9 89.6 15.907 <.0001
##
## Deviant_threshold = 0.25, party = Democratic:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 73.6 4.83 343 64.1 83.1 15.247 <.0001
## after 69.0 4.83 343 59.5 78.5 14.293 <.0001
##
## Deviant_threshold = 0.5, party = Democratic:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 70.9 4.59 343 61.8 79.9 15.439 <.0001
## after 65.8 4.59 343 56.8 74.9 14.343 <.0001
##
## Deviant_threshold = 0.75, party = Democratic:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 75.1 4.38 343 66.5 83.7 17.138 <.0001
## after 69.7 4.38 343 61.1 78.3 15.903 <.0001
##
## Deviant_threshold = 1, party = Democratic:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 68.1 4.26 343 59.7 76.4 15.977 <.0001
## after 67.5 4.26 343 59.1 75.9 15.853 <.0001
##
## Deviant_threshold = 0, party = Independent:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 59.6 5.58 343 48.6 70.6 10.690 <.0001
## after 58.4 5.58 343 47.5 69.4 10.476 <.0001
##
## Deviant_threshold = 0.25, party = Independent:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 52.4 6.39 343 39.9 65.0 8.207 <.0001
## after 49.8 6.39 343 37.2 62.4 7.796 <.0001
##
## Deviant_threshold = 0.5, party = Independent:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 56.8 6.20 343 44.6 69.0 9.167 <.0001
## after 54.0 6.20 343 41.8 66.2 8.712 <.0001
##
## Deviant_threshold = 0.75, party = Independent:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 61.9 6.20 343 49.7 74.1 9.993 <.0001
## after 47.2 6.20 343 35.0 59.4 7.611 <.0001
##
## Deviant_threshold = 1, party = Independent:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 56.9 5.33 343 46.4 67.4 10.671 <.0001
## after 52.3 5.33 343 41.8 62.8 9.815 <.0001
##
## Deviant_threshold = 0, party = Republican:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 80.2 7.09 343 66.2 94.1 11.308 <.0001
## after 81.2 7.09 343 67.2 95.1 11.449 <.0001
##
## Deviant_threshold = 0.25, party = Republican:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 71.2 6.83 343 57.8 84.6 10.426 <.0001
## after 69.6 6.83 343 56.2 83.1 10.196 <.0001
##
## Deviant_threshold = 0.5, party = Republican:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 61.4 9.04 343 43.6 79.1 6.792 <.0001
## after 59.2 9.04 343 41.5 77.0 6.557 <.0001
##
## Deviant_threshold = 0.75, party = Republican:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 57.9 6.39 343 45.3 70.4 9.058 <.0001
## after 55.6 6.39 343 43.1 68.2 8.706 <.0001
##
## Deviant_threshold = 1, party = Republican:
## time emmean SE df lower.CL upper.CL t.ratio p.value
## before 79.8 8.52 343 63.0 96.5 9.364 <.0001
## after 76.9 8.52 343 60.1 93.6 9.025 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
##
## $contrasts
## Deviant_threshold = 0, party = Democratic:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after -1.462 2.80 294 -6.96387 4.04 -0.523 0.6015
##
## Deviant_threshold = 0.25, party = Democratic:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 4.607 2.69 294 -0.69504 9.91 1.710 0.0883
##
## Deviant_threshold = 0.5, party = Democratic:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 5.032 2.56 294 -0.00684 10.07 1.965 0.0503
##
## Deviant_threshold = 0.75, party = Democratic:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 5.412 2.44 294 0.60011 10.22 2.214 0.0276
##
## Deviant_threshold = 1, party = Democratic:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 0.528 2.38 294 -4.14831 5.20 0.222 0.8244
##
## Deviant_threshold = 0, party = Independent:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 1.190 3.11 294 -4.93196 7.31 0.383 0.7022
##
## Deviant_threshold = 0.25, party = Independent:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.625 3.56 294 -4.38913 9.64 0.737 0.4620
##
## Deviant_threshold = 0.5, party = Independent:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.824 3.46 294 -3.98117 9.63 0.817 0.4148
##
## Deviant_threshold = 0.75, party = Independent:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 14.765 3.46 294 7.96000 21.57 4.270 <.0001
##
## Deviant_threshold = 1, party = Independent:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 4.565 2.97 294 -1.28497 10.42 1.536 0.1257
##
## Deviant_threshold = 0, party = Republican:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after -1.000 3.95 294 -8.78148 6.78 -0.253 0.8005
##
## Deviant_threshold = 0.25, party = Republican:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 1.571 3.81 294 -5.92699 9.07 0.412 0.6803
##
## Deviant_threshold = 0.5, party = Republican:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.125 5.04 294 -7.79448 12.04 0.422 0.6736
##
## Deviant_threshold = 0.75, party = Republican:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.250 3.56 294 -4.76413 9.26 0.631 0.5283
##
## Deviant_threshold = 1, party = Republican:
## contrast estimate SE df lower.CL upper.CL t.ratio p.value
## before - after 2.889 4.75 294 -6.46328 12.24 0.608 0.5437
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
Prediction Confidence
Prediction Confidence, by correctness about last opinion
| Overall (N=309) |
|
|---|---|
| predcorrect | |
| Yes | 161 (52.1%) |
| No | 148 (47.9%) |
| 0 (N=60) |
0.25 (N=58) |
0.5 (N=56) |
0.75 (N=67) |
1 (N=68) |
Overall (N=309) |
|
|---|---|---|---|---|---|---|
| predcorrect | ||||||
| Yes | 35 (58.3%) | 31 (53.4%) | 33 (58.9%) | 29 (43.3%) | 33 (48.5%) | 161 (52.1%) |
| No | 25 (41.7%) | 27 (46.6%) | 23 (41.1%) | 38 (56.7%) | 35 (51.5%) | 148 (47.9%) |
Idenitification to Stimuli
#Scatter plot by Party Id (Post minus Pre)
#Cluster analysis
